Data Engineer

4 days ago

Ann Arbor, MI, United States Conexess Full time
Job Title: Data Engineer - Python, SQL, Spark, Databricks - Hybrid - Ann Arbor, MI

Location: Ann Arbor, MI - Hybrid - Monday - Thursday On-Site

About the Role:
We are seeking a skilled Data Engineer to join our client's cloud transformation initiative, focused on building and optimizing large-scale data pipelines in Databricks. You will play a key role in enabling real-time analytics and machine learning solutions that directly support millions of daily transactions and customer interactions worldwide.

Key Responsibilities:
  • Design, build, and maintain scalable data pipelines using Python, SQL, and Apache Spark within Databricks.
  • Work closely with Data Architects, Data Scientists, and Analysts to ensure data is accurate, available, and high-performing.
  • Integrate diverse data sources into a centralized cloud platform on Microsoft Azure.
  • Implement best practices for data ingestion, transformation, storage, and retrieval.
  • Optimize data workflows for large-scale processing and near-real-time analytics.
  • Ensure compliance with data governance, quality, and security standards.

Required Qualifications:
  • 5+ years of experience in data engineering and pipeline development.
  • Proficiency in Python, SQL, and Apache Spark.
  • Hands-on experience with Databricks (Databricks certification required).
  • Strong understanding of data modeling, ETL/ELT processes, and cloud data architectures.
  • Experience working with high-volume, complex data environments.

Preferred Qualifications:
  • Experience with Azure Data Factory, Azure Synapse Analytics, or Azure Data Lake Storage.
  • Familiarity with real-time data streaming tools (Kafka, Event Hubs, etc.).
  • Exposure to AI/ML data preparation workflows.
  • Background in high-transaction industries such as retail, e-commerce, or QSR.

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